研究与知识

gmgn-track

377research-knowledge

Get real-time crypto buy/sell activity from Smart Money wallets, KOL influencer wallets, and personally followed wallets via GMGN API — alpha signals, whale tracking, meme token copy-trading ideas on Solana, BSC, Base, or Ethereum. Also query which tokens a wallet has followed (bookmarked) on GMGN. Use when user asks what smart money or KOLs are buying, wants whale alerts, on-chain alpha, copy-trade signals, or wants to check a wallet's followed tokens. (For a specific wallet address's portfolio, use gmgn-portfolio.)

gmgnai

skill-creator

365research-knowledge

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

brianlovin

playwriter

365research-knowledge

Control the user's currently open Chrome tab through the Playwriter CLI (no new browser launch). Use when you need to inspect live UI state, run scripted browser actions, capture console output, or reproduce frontend issues directly in the user's tab.

brianlovin

firebase-basics

357research-knowledge

firebase

wechatpay-payment-integration

346research-knowledge

微信支付（WeChat Pay）相关问题的统一入口，处理与微信支付接入、产品、开发、运营、品牌经营相关的咨询，提供产品选型、官方示例代码、接入质量评估、答疑与排障。Use when user mentions "微信支付", "微信收款", "WeChat Pay", "JSAPI", "APP支付", "H5支付", "Native支付", "扫码支付", "付款码", "小程序支付", "合单支付", "医保支付", "微信支付分", "分账", "转账", "委托代扣", "周期扣款", "代金券", "商家券", "特约商户进件", "服务商", "sub_mchid", "APIv2", "APIv3", "回调", "签名", "证书", "错误码", "OpenID", "品牌经营", "品牌经营平台", "品牌门店", "商家名片", "名片会员", "商品券", "摇一摇有优惠", "摇优惠", "品牌入驻", or asks to "推荐支付方式/产品选型", "要接口或示例代码", "做接入代码质量审查/上线前检查", "解释字段含义或接口规则", "排查报错/查单/支付问题".

wechatpay-apiv3

ue-project-context

339research-knowledge

When the user wants to create or update their Unreal Engine project context document. Use when the user says 'project context,' 'set up context,' 'UE context,' 'configure project,' or wants to avoid repeating their project setup across UE development tasks. Creates `.agents/ue-project-context.md` that all other UE skills reference. See related skills footer for skills that depend on this context.

quodsoler

sop-creator

331research-knowledge

Creates detailed Standard Operating Procedures (SOPs) for business processes. Use when user needs SOPs, process documentation, operational guides, workflow documentation, or step-by-step instructions for repeatable business processes.

ognjengt

rag

329research-knowledge

Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.

memory-md-management

329research-knowledge

Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate project memory files. Also triggers for "project memory optimization", "CLAUDE.md quality check", "documentation review", or when a project memory file needs to be created from scratch. This skill scans memory files, evaluates quality against standardized criteria, outputs detailed quality reports with scores and recommendations, then makes targeted updates with user approval.

langchain4j-rag-implementation-patterns

Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion pipelines, embedding stores, vector search, and semantic search capabilities. Use when building chat-with-documents systems, document Q&A over PDFs or text files, AI assistants with knowledge bases, semantic search over document repositories, or knowledge-enhanced AI applications with source attribution.

langchain4j-spring-boot-integration

Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spring context, integrates RAG pipelines with Spring Data, and handles auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications, building Java LLM applications with @Bean configuration, or setting up Spring AI patterns.

langchain4j-vector-stores-configuration

Provides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.

qdrant

Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.

chunking-strategy

321research-knowledge

Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.

layout-analyzer

320research-knowledge

doc-pipeline

320research-knowledge

Chain document operations into reusable pipelines

company-research

Conduct comprehensive company research and due diligence. Analyze business model, competitive landscape, management, and market position.

competitive-analysis

Analyze competitors systematically. Compare products, features, pricing, positioning, and market strategies. Generate comprehensive competitive intelligence reports.

deep-research

Conduct comprehensive research on any topic. Synthesize information from multiple angles, provide structured analysis, and generate detailed research reports.

table-extractor

ai-agent-builder

Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns

batch-convert

Batch convert documents between multiple formats using a unified pipeline

web-search

Formulate effective web search queries, analyze search results, and synthesize findings. Optimize search strategies for different types of information needs.